Objective: The aim of this study was to investigate the clinical and laboratorial factors associated with serum sodium variation during continuous renal replacement therapy and to assess whether the perfect admixture formula could predict 24-hour sodium variation.
Methods: Thirty-six continuous renal replacement therapy sessions of 33 patients, in which the affluent prescription was unchanged during the first 24 hours, were retrieved from a prospective collected database and then analyzed. A mixed linear model was performed to investigate the factors associated with large serum sodium variations (≥ 8mEq/L), and a Bland-Altman plot was generated to assess the agreement between the predicted and observed variations.
Results: In continuous renal replacement therapy 24-hour sessions, SAPS 3 (p = 0.022) and baseline hypernatremia (p = 0.023) were statistically significant predictors of serum sodium variations ≥ 8mEq/L in univariate analysis, but only hypernatremia demonstrated an independent association (β = 0.429, p < 0.001). The perfect admixture formula for sodium prediction at 24 hours demonstrated poor agreement with the observed values.
Conclusions: Hypernatremia at the time of continuous renal replacement therapy initiation is an important factor associated with clinically significant serum sodium variation. The use of 4% citrate or acid citrate dextrose - formula A 2.2% as anticoagulants was not associated with higher serum sodium variations. A mathematical prediction for the serum sodium concentration after 24 hours was not feasible.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943049 | PMC |
http://dx.doi.org/10.5935/0103-507X.20160026 | DOI Listing |
JACC Adv
January 2025
Department of Surgery, Division of Transplant Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Background: Currently, there is no mathematical model used nationally to determine the medical urgency of patients on the heart transplant waitlist in the United States. While the current organ distribution system accounts for many patient factors, a truly objective model is needed to more reliably stratify patients by their medical acuity.
Objectives: The aim of the study was to develop risk scores (Colorado Heart failure Acuity Risk Model [CHARM] score) to predict mortality in adults waitlisted for heart transplant.
Environ Pollut
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China; Department of Head and Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China. Electronic address:
Differentiated thyroid cancer (DTC) generally has a favorable prognosis, and radioactive iodine (RAI) therapy is typically used for metastatic DTC that continues to progress and poses life-threatening risks. However, resistance to RAI in metastatic DTC significantly impairs treatment effectiveness. This study aims to identify potential compounds that may influence RAI efficacy.
View Article and Find Full Text PDFInt J Cardiol
January 2025
Department of Cardiology, Fujita Health University 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 4701192, Japan.
Background: Sodium-glucose cotransporter 2 inhibitors (SGLT2is) reportedly decreased the new-onset atrial arrhythmias in patients with type-2 diabetes (T2DM) or heart failure (HF). This study examined the impact of SGLT2is on catheter ablation for atrial fibrillation (AF) in HF patients without T2DM.
Methods: Persistent AF (PeAF) and HF (N-terminal prohormone of brain natriuretic peptide, NT-proBNP ≥400 pg/ml) patients without T2DM undergoing catheter ablation were prospectively enrolled (n = 102).
Comput Biol Chem
December 2024
Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China. Electronic address:
In the present study, we uncovered and validated potential biomarkers related to gout, characterized by the accumulation of sodium urate crystals in different joint and non-joint structures. The data set GSE160170 was obtained from the GEO database. We conducted differential gene expression analysis, GO enrichment assessment, and KEGG pathway analysis to understand the underlying processes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!